Clutter Suppression in ISAC Systems with Compound Reconfigurable Antenna Arrays
Mengzhen Liu, Ming Li, Rang Liu, Qian Liu, A. Lee Swindlehurst

TL;DR
This paper proposes a novel clutter suppression method in ISAC systems using compound reconfigurable antenna arrays that optimize electromagnetic and baseband parameters, significantly improving radar performance in cluttered environments.
Contribution
It introduces a unified EM and baseband optimization framework for CRA arrays, enhancing clutter suppression beyond traditional beamforming techniques.
Findings
Achieves up to 11 dB SCNR improvement over conventional methods.
Validates effectiveness through extensive QuaDRiGa-based simulations.
Demonstrates the benefits of EM-domain reconfigurability in clutter-rich scenarios.
Abstract
Integrated sensing and communication (ISAC) systems often suffer severe performance degradation due to strong clutter echoes, and spatial-only beamforming is often inadequate for realistic array sizes. This paper addresses clutter suppression in ISAC by leveraging compound reconfigurable antenna (CRA) arrays, which simultaneously enable dynamic adjustment of both radiation patterns and polarization states, thus substantially expanding the degrees of freedom available in the electromagnetic (EM) domain. We develop a unified compound channel model that integrates virtual angular-domain responses, spatial propagation, and polarization rotation/depolarization. Leveraging statistical information about target and clutter covariances, we formulate a joint EM-domain and baseband-domain optimization aimed at maximizing the radar signal-to-clutter-plus-noise ratio (SCNR). The formulation also…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
